Stephie Fried

This paper develops a macro heterogeneous-agent model to quantify the distributional impacts of higher temperatures in the US. Households adapt to temperature by using energy and equipment for heating and cooling. A key insight is that temperature acts as a transfer from nature, augmenting household income by the value of heating or cooling provided by nature. The welfare effects of climate change vary substantially with income, increasing welfare inequality in the colder parts of the US. This heterogeneity results from the effects of climate change on transfers from nature and on households’ extensive-margin decisions to purchase heaters and air conditioners.

This paper develops a general equilibrium lifecycle model to explore the welfare and inequality implications of different ways to return carbon tax revenue back to households. We find that the welfare maximizing rebate uses two thirds of carbon-tax revenue to reduce the distortionary tax on capital income while using the remaining one third to increase the progressivity of the labor-income tax. This recycling approach attains higher welfare and more equality than the lump-sum rebate approach preferred by policymakers as well as the approach originally prescribed by economists–which called exclusively for reductions in distortionary taxes.

Existing climate-economy models assume climate change has equal impacts on the productivity of firms that produce consumption and investment goods and services. We develop a model of structural change to show that the split between damage to consumption and investment productivity matters for the aggregate consequences of climate change. When investment is more vulnerable to climate, we find smaller short-run consumption losses than leading models suggest, but larger long-run consumption losses. We provide a quantitative illustration of these effects for one type of climate damage in the U.S. economy: labor productivity losses from heat stress. We find that accounting for heterogeneous damages increases the welfare cost of the climate damage from heat stress by approximately 4 to 23%, depending on the discount factor.

Many policymakers view power outages as a major constraint on firm productivity in developing countries. Yet empirical studies find modest short-run effects of outages on firm performance. This paper builds a dynamic macroeconomic model to study the long-run general-equilibrium effects of power outages on productivity. Outages lower productivity in the model by creating idle resources, depressing the scale of incumbent firms and reducing entry of new firms. Consistent with the empirical literature, the model predicts small short-run effects of eliminating outages. However, the long-run general-equilibrium effects are much larger, supporting the view that eliminating outages is an important development objective.

We use theory and empirics to distinguish between the impact of temperature on transition (temporary) and steady state (permanent) growth in output per capita. Standard economic theory suggests that the long-run growth rate of output per capita is determined entirely by the growth rate of total factor productivity (TFP). We find evidence suggesting that the level of temperature affects the level of TFP, but not the growth rate of TFP. This implies that a change in temperature will have a temporary, but not a permanent, impact on output per capita growth. To highlight the quantitative importance of distinguishing between permanent and temporary changes in economic growth, we use our empirical estimates and theoretical framework to project the impacts of future increases in temperature caused by climate change. We find losses that are substantial, but smaller than those in the existing empirical literature that assumes a change in temperature permanently affects economic growth.

Can we reduce the damage from climate change by investing in seawalls, stilts, or other forms of adaptation? Focusing on the case of severe storms in the US, I develop a macro heterogeneous-agent model to quantify the interactions between adaptation, federal disaster policy, and climate change. The model departs from the standard climate damage function and incorporates the damage from storms as the realization of idiosyncratic shocks. I find that while the moral hazard effects from disaster aid reduce adaptation in the US economy, federal subsidies for investment in adaptation more than correct for the moral hazard. I introduce climate change into the model as a permanent increase in either or both the severity or probability of storms. Adaptation reduces the damage from this climate change by approximately one third. Finally, I show that modeling the idiosyncratic risk component of climate damage has quantitatively important implications for adaptation and for the welfare cost of climate change.

Uncertainty surrounding if the U.S. will implement a federal climate policy introduces risk into the decision to invest in long-lived capital assets, particularly those designed to use, or to replace fossil fuel. We develop a dynamic, general equilibrium model to quantify the macroeconomic impacts of this climate policy transition risk. The model incorporates beliefs over the likelihood that the government adopts a climate policy causing the economy to dynamically transition to a lower carbon steady state. We find that climate policy transition risk decreases carbon emissions today by causing investment to become relatively cleaner and output to fall. This result counters the Green Paradox, which argues that climate policy risk raises emissions today by increasing incentives to extract fossil fuel, expanding its supply. Even allowing for the supply-side response, we find the demand-side response dominates, and the net effect of climate policy transition risk is still to reduce emissions today.

To what extent does rural electrification induce structural change and alter migration patterns? This paper addresses this question using a simple multisector spatial model and evidence from a panel of rural Ethiopian villages during its recent expansion of electricity supply. We find that electrification raised irrigation rates, agricultural yields and non-agricultural business activity. Furthermore, electrified villages experienced higher rates of in-migration and lower rates of out-migration. Each of these predictions is qualitatively consistent with the predictions of our model. Our results suggest that rural electrification helped facilitate structural transformation of villages economies in Ethiopia and slowed out-migration from rural areas.